Choose the approved input
Define the device, channel, consent, participants, file format, and who may submit or retrieve a recording.
Voice-to-text / sensitive conversations
Sensitive meetings still need searchable notes.
We design a voice workflow around the meetings, interviews, voice notes, or field recordings your team is permitted to process. The system transcribes and structures the material; your policy decides consent, access, retention, and who approves the record.
Approved recordingsPrivate pathSearchable notesRetention defined
Pattern demonstration / no client audio
Where voice gets stuck
The recording is useful only when the team can use it safely.
Private transcription is about the complete path from audio to record, not only the accuracy of the words on the screen.
Turn speech into a useful record
Produce a transcript, summary, decisions, speaker notes, or extracted fields that match the workflow.
Keep less than you need
Set access, retention, deletion, export, backup, and support rules before a sensitive voice archive grows.
Privacy is a workflow decision
A private transcript still needs an owner.
Make permission explicit
The client decides which conversations may be recorded and what participants are told.
Name the provider
Audio, transcript, model, storage, logs, and support access should follow the approved route.
Correct the record
A human checks names, numbers, sensitive statements, and the difference between discussion and decision.
A private voice pilot
Start with one recording context.
Name the conversation
Choose a meeting, interview, field note, or voice-message workflow with a defined user and output.
Map the data path
Record where audio is captured, processed, stored, backed up, accessed, and deleted.
Test the hard audio
Use real accents, names, noise, multiple speakers, numbers, and sensitive language in the evaluation set.
Publish the approved note
Send only the reviewed output to the chosen system and document retention and correction procedures.
The most private transcription system is the one that knows what it is allowed to record, where it goes, and when it should disappear.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Straight answers
Common questions.
Can the transcription be fully self-hosted?
It can be evaluated where the workload and operating capacity justify it. The chosen speech model, storage, hardware, and update path must be tested.
Can it summarize interviews?
Yes, for an approved interview workflow with defined questions, output, access, retention, and human review.
Can we keep the audio forever?
Retention should follow the client's purpose and policy. Keeping sensitive recordings indefinitely is not an automatic default.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the audio
Which conversations need a safer text path?
Tell us the recording context, participants, output, storage requirement, and retention rule.